Statistical Data Analyst Job Description
Statistical Data Analyst Duties & Responsibilities
To write an effective statistical data analyst job description, begin by listing detailed duties, responsibilities and expectations. We have included statistical data analyst job description templates that you can modify and use.
Sample responsibilities for this position include:
Statistical Data Analyst Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Statistical Data Analyst
List any licenses or certifications required by the position: SAS, CLTD, CSCP, CPIM, APICS, SQL
Education for Statistical Data Analyst
Typically a job would require a certain level of education.
Employers hiring for the statistical data analyst job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Biostatistics, Epidemiology, Health Services, Communication, Health, Machine Learning, Mathematics, Logic, Computer Science
Skills for Statistical Data Analyst
Desired skills for statistical data analyst include:
Desired experience for statistical data analyst includes:
Statistical Data Analyst Examples
Statistical Data Analyst Job Description
- Clinical data analysis
- Research and qualitative analysis
- Work with multiple departments (relevant to the projects assigned)
- Code and maintain attributes using KEL from various data sources with guidance and instruction from Attribute team members
- Test attributes for quality, completeness and consistency through constant monitoring and auditing for project of simple complexity, using required techniques and tools such as R, SAS and ECL as needed
- Document all attributes created
- Assist in maintaining user guides and training materials for the Attribute Development team
- Basic understanding of the needs of internal customers to build new attributes and attribute sets to meet new and changing business needs
- Keep Manager informed of latest progress through effective communication of status and next steps
- Provide support on surveys for determining and analyzing occupational employment statistics, wage information, labor supply and demand, Industrial production
- Minimum 2-3 years of experience in a large environment
- Experience with data visualisation tools, such as Power BI, Excel Dashboards, Tableau D3.js, GGplot
- Proficiency in using query languages such as SQL, Hive, Pig, Java
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests
- Experience with common data science toolkits, such as R, Python, NumPy, MatLab, SAS
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Pentaho
Statistical Data Analyst Job Description
- Prepare PowerPoint presentations including creating charts, tables and relevant call out Statements
- Provide support on high-frequency economic indicators
- Builds new predictive/descriptive models, evaluate current effectiveness of old models, design experiments/campaigns and analyze the resulting data, perform post-hoc (correlational) analysis when experimental designs (causational analyses) are not feasible and explains the limitations of the results, advises analytical data programmers on quality and infrastructure needs/challenges
- Write large blocks of code that will be run repetitively with moderate efficiency
- Perform several of these types of analysis depending on capability to satisfy the need of the organization and projects
- Creation of intermediate technical documentation
- Applies basic techniques for handling small sample sizes independently and applies intermediate techniques with limited involvement from more experienced analysts
- Perform large scale statistical analysis or medium scale modeling projects independently or in collaboration with other Analysts
- Mentors less experienced Analysts, and interacts professionally with leaders outside of Analytics
- Technically supervising, mentoring, coaching, and training all less senior analysts on advanced statistical techniques and how to apply them to business problems
- Masters, PhD, or equivalent experience in Statistics, Mathematics or other quantitative discipline
- Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models and developing predictive models in support of a wide variety of business needs
- Technically capable across a range of technologies (Python, R, Java, SQL etc)
- Experience with SampleManager LIMS, preferred
- Degree in any field, preferably in Business Admin, Mathematics, Statistics or related field
- A minimum of a Master’s Degree is required in Biostatistics or other relevant discipline
Statistical Data Analyst Job Description
- Single point of contact for both business and technology teams on business requirements
- Perform business QA of the solution
- Acts as subject matter experts to carriers, vendors, and other external customers for interpretation of carrier data reporting requirements and in the development of new carrier files or requested enhancements of existing files
- Serves as Primary contact to multiple carrier partners for claim data reporting processes
- Approves the monthly Broadspire carrier data file submission and provides confirmation to carrier partner that all amounts and indicative data is accurate and acceptable for the carriers' use in client and TPA reimbursement processes
- Responsible for coordination and entry of complex corrections needed for carrier partners
- Required to decipher and analyze processes related to the manipulation of data and money flow of internal and external systems
- Develops, analyzes and interprets the results of queries in support of carrier data files
- Determines acceptance of requirement changes and defect fixes
- Tests and participates in debugging systems and programs against business requirements or leads in system testing and debugging against business requirements
- At least 5 years of relevant prior work experience in the healthcare industry within a pharmaceutical (or related) company, insurer, or within a health system is required
- Experience with the statistical analysis of administrative claims datasets or electronic health/medical records is required
- Master’s Degree or PhD in statistics, other applied science field, or equivalent experience
- Considerable experience with statistical tools
- Exposure to data mining tools and techniques
- Fluency with programming language such as Python
Statistical Data Analyst Job Description
- Provides technical assistance by compiling, analyzing, and interpreting statistical and financial data, based on an understanding of Broadspire application systems, statistical data requirements and our carriers’ business objectives
- Responds to questions regarding statistical processing, internal and external reporting requirements and to requests for data from internal and external sources
- Contributes to the planning process of Broadspire functional departments by attending meetings to gain better insight with respect to analyses and data reporting
- Represents Broadspire at meetings with customers, vendors, bureaus, insurance companies, outside consultants, as requested
- Develops and communicates business requirements, as identified by carrier customer needs, to analyze systems and reports and may participate in systems design, as needed
- Monitors automated or manual systems that affect the statistical reporting processes in that problems are remedied and that appropriate action is taken
- Represents the statistical-actuarial departments for our carrier customers and actively seeks up to date information regarding statistical reporting requirements such that our carrier customers’ data meets bureau reporting expectations
- Lead resolution of the most complex technical problems for this unit
- May also provide work direction for other staff members
- Translating analytical results, presenting to C-Level executives and below, and making recommendations for improvements in the areas of application
- Proven track record as a lead resource for the business
- Working knowledge of standard querying with SQL
- Advanced hands-on experience with all Microsoft Office software
- A Master's Degree in an analytics-related field such as statistics, mathematics, information systems, computer science, finance, economics, or an MBA with an emphasis in analytics and eight years of experience
- Or Master's Degree in a non-related field or a Bachelor's Degree in a related field and ten years of experience, eight of which are in a quanitative discipline
- Or Bachelor's Degree with 12 years of experience and ten years of experience in the area of subject matter expertise
Statistical Data Analyst Job Description
- Formally train less experienced Analysts
- Develop formal training materials
- Apply skills learned in previous roles to the business using SAS with great autonomy
- Mentors and provides technical supervision to Senior level analysts
- Collaborates strategically with executives outside of Analytics
- Focused primarily on large scale high-value projects that may also have legal sensitivity or scrutiny
- Applies advanced techniques for handling interactions independently
- Primarily responsible for data entry corrections from Carrier Partners
- Determines appropriate reporting selection criteria for customer and sets up reporting instance in claims reporting system
- Determine appropriate access privileges and initiates new user IDs
- Experience with the industry standard BI or analytical tools and technologies
- Experience with query tuning
- A Master's Degree in related field such as statistics, mathematics, information systems, computer science, economics, or an MBA with an emphasis in analytics and four years of experience, or Master's Degree in a non-related field or a Bachelor's Degree in a related field and ten years of experience, eight of which are in a quanitative discipline, or Bachelor's Degree with eight years of experience and six years of experience in the area of subject matter expertise
- Bachelor's Degree with four years of experience, or a Master's Degree in an analytics-related field such as statistics, mathematics, information systems, computer science, finance, economics, or an MBA with an emphasis in analytics and less than two years of experience
- Experience demonstrating a working knowledge of SQL (structured query language), quality improvement principles, theory, study design, and statistical modeling
- Experience with applied statistical modeling